VU Computer Vision

Course details

Timetable

The lecture will be held in presence in WS2022/2023. Enclosed you will find a schedule for orientation of the lecture part.

The start is scheduled for 03.10.2022. The following is a list of the contents of the lecture part and the dates of the units of the exercise part:

Monday: 15:00 – 19:00
Tuesday: 17:00 – 19:00
Location: FAV Hörsaal 1 – INF

Lecture Part

• 03.10.2022, 15:00 c.t.
  • L1. Introduction: What is Computer Vision?
    • General Introduction
    • History of Computer Vision
    • Why is Vision Hard?
  • L2. Structure of Images 1: Image Formation, 16:45 s.t.
    • Image Geometry and Formation
    • Types of Projections
  • L1 and L2 postponed!
  • E1 Discussion of the general exercise procedure 15:00 ct .
    • Exercise Introduction, Modalities for the exercise part
    • Q&A session
• 11.10.2022, 17:00 c.t.
  • L3. Structure of Images 2: Texture, Scenes, and Context 1
    • Properties of Light
    • Light Transport – BRDF
    • Structure in Images: Visual Features, Filtering, Transformations
• 24.10.2022, 15:00 c.t.:
  • L4. Structure of Images 3: Texture, Scenes, and Context 2
    • Linear Image Transform
    • Edges
    • Local Image Analysis
  • L5. Local & Multiscale Representations, 16:45 c.t. 
    •  Wavelets
    • Local Image Representations
    • Multiscale Image Represenations
    • Haar Transform
• 25.10.2022, 17:00 c.t.:
  • L6. Image Analysis
    • Interest Points, Corners
    • Image Analysis
    • Scene Emergent Features
• 7.11.2022, 15:00 c.t.:
  • L7. Scenes 1
    • Scene Recognition
    • Bag of Words
    • SIFT
  • L8. Scenes 2, 16:45 c.t.
    • Clustering
    • Pyramid Matching
    • Support Vector Machine
• 8.11.2022, 17:00 c.t.:
  • L9. Machine Learning for CV
    • Classification
    • Types of Learning
    • Regression
    • Clustering
    • Association
    • Dimension Reduction
    • ANNs
• 21.11.2022, 15:00 c.t.:
  • L10. Deep Learning for CV
    • Deep Learning
    • CNNs
    • Image Net
  •  L11. Depth Perception, 16:45 c.t.
    • Monocular Cues to Depth
    • Absolute Monocular Cues to Depth
    • 3D Object Categorization
    • Pose Invariance
• 22.11.2022, 17:00 c.t.:
  • L12. Single View Reconstruction
    • Camera Geometry and Calibration
    • Three-dimensional reconstruction from single and multiple images
    • Single View Metrology
• 28.11.2022, 15:00 c.t.:
  • L13. Absolute 3D Reconstruction
    • Absolute Monocular 3D Reconstruction
    • Absolute Binocular 3D Reconstruction
    • Stereo Geometry
    • Essential Matrix
  • L14. Multiview Geometry
    • Correspondence Analysis
    • Multiview Geometry & RANSAC
    • Shape from Motion

Exercise part

• Submission Deadline Assignment 0: 14.10.2022
• Group Finding until 21.10.2022
• Submission Deadline Assignment 1: 18.11.2022
• Oral Interviews Assignment 1: 24. / 25.11.2022
• Submission Deadline Assignment 2: 20.01.2023
• Oral Interviews Assignment 2: 26. / 27.01.2023

Tutoring hours will be announced via TUWEL.